PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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Why recurrent_hidden_states_batch is used in feed_forward_generator #195
Could u kindly suggest some default parameters for ppo of recurrent policy? The readme file seems to only provide parameter for non-recurrent policy.
Thanks in advance.